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I am a senior researcher at the Asset Management AI Center of Excellence of Fidelity Investments, working in Igor Halperin's team. Currently, my projects revolve around time-series low-dimensional representations and stable clustering schemes, as well as financial market simulation models and asset allocation methods.

Prior to that, I was a post-doctoral researcher at the Division of Applied Mathematics of Brown University, working under the supervision of George Karniadakis. I focused on physics-informed deep learning and meta-learning, as well as uncertainty quantification, for addressing forward and inverse problems involving partial differential equations, and operator learning problems. 

I received my Ph.D. degree in computational stochastic dynamics from Columbia University under the supervision of Ioannis Kougioumtzoglou. During my doctoral studies, I developed analytical and numerical stochastic methodologies for the analysis and optimization of complex engineering systems under the presence of uncertainties. This research will be published in the form of a book co-authored by Profs. Kougioumtzoglou and Spanos, as well as myself, by Springer Nature within 2024.

I hold an M.Sc. and a Diploma in Engineering from UT Austin and University of Patras (Greece), respectively.

My work has been awarded with the Mindlin Scholar in Civil Engineering and Engineering Mechanics award from Columbia University, with three Best Student Paper awards, and with several fellowships.

About me: About
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